function [Output_Data] = Function_Power_Normalization(Input_Data)
    Data_Length = length(Input_Data);
    Output_Data = zeros(Data_Length,1);
    Raw_Data = abs(Input_Data);

    Variance_Value = 0;
    for n = 1:Data_Length
        Variance_Value = Variance_Value + Raw_Data(n)^2;
    end
    Variance_Value = sqrt(Variance_Value  / Data_Length);
    
    for n = 1:Data_Length
        Output_Data(n) = Input_Data(n) / Variance_Value;
    end

return;